Power your next generation of medical AI models with trusted training data.
Using our hybrid AI-human approach, we accelerate annotation delivery by 40-60% while maintaining the highest clinical standards. Whether you’re training diagnostic AI models, building pharmacovigilance NLP systems, or enriching datasets for drug discovery, our ISO 27001:2022-certified, GxP-aligned workflows ensure regulatory-ready data that accelerates your time-to-market.
One Solution for Medical Image Annotation
Our solution enables fast, secure, and collaborative annotation of medical images for machine learning applications.
Circulants proven Data Quality framework leverages machine learning, anomaly detection, metadata analysis, and continuous monitoring to proactively identify and resolve data issues before they impact analytics or operations. The framework automatically profile datasets, detect schema drift, suggest remediation actions, and even learn from historical corrections to improve over time.
This enables your organizations to move from reactive data cleansing to predictive quality management, enhancing trust in dashboards, AI models, regulatory reporting, and strategic decision-making. Support Imaging Types (MRI Scans, CT Scans, X-rays, Pathology slides, Ultrasound images). Supported Formats (DICOM, NifTI, PNG / TIFF, Medical image volume).
Annotation Capabilities
Our solution provides powerful tools such as bounding boxes, polygon annotation, and pixel-level segmentation to accurately label medical images. It enables precise identification of anatomical structures, abnormalities, and disease patterns to create high-quality AI training datasets.
Bounding Boxes
Identify abnormalities quickly.
Polygon Annotation
Outline tumors or lesions precisely.
Semantic Segmentation
Label each pixel for medical structures.
Instance Segmentation
Separate individual anatomical structures.
Keypoint Annotation
Mark anatomical landmarks.
Annotation workflow
From Medical Images to AI Models
datasets
preprocessing
annotation
validation
export
Features
Power your next generation of medical
AI models with trusted training data.
Medical
Imaging Annotation
Expert labeling and segmentation of X-ray, CT, MRI, pathology slides, and ophthalmology images to fuel precise AI models for diagnostics and disease detection.
Clinical Text &
EHR Annotation
Advanced processing of electronic health records and clinical notes, including Named Entity Recognition (NER) for key medical terms and automated ICD/CPT medical coding for streamlined compliance and analysis.
Adverse Event Detection
& Safety Signal Tagging
AI-driven identification and tagging of potential adverse events in patient data, enabling real-time safety signal monitoring and pharmacovigilance.
Multimodal
Data Integration
Seamless fusion of imaging, text, EHR, and other data sources into unified datasets, optimizing comprehensive AI training for holistic medical insights and predictive analytics.
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Build Better Medical AI
Turn complex medical imaging data into high-quality AI training datasets with our advanced annotation solution. Start Annotating Today
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